Automate DevOps for ML

Accelerate Your Team

Optimize Hardware

Serverless Microservices

Optimized GPU usage

Advanced Scheduling

Deploy Autoscaling ML Models using Serverless Microservices

Machine Learning utilization is often unpredictable, which makes scaling a nightmare. We deploy your algorithms as scalable microservices built on a serverless infrastructure: that means you get fast and reliable API access, only pay for what you use, and never worry about the hardware under the hood.

Catalog Your ML Portfolio

As your teams push more models into production, keeping track of them can become tedious. The AI Layer lets you tag, categorize, and search all of your models while keeping you on top of where and when they’re being used.

AI Marketplace

Want to find the right algorithm for your project? You’ve come to the right place. We don’t just host your models: we’ve got a marketplace of over 5,000 algorithms for you to utilize. They’re powered by a community of over 70,000 amazing developers from all over the globe.

Use the Language of Your Choice

Data Scientists thrive in multiple languages, and their models are built accordingly. The AI Layer supports inputs and outputs in most major programming languages, which lets you focus on what matters: building the best models you can.

Model Pipelining built-in

Building sophisticated Machine Learning systems relies on layers of dependencies. The AI Layer makes it easy to pipeline multiple algorithms together seamlessly. You can even set chaining permissions when you create your models.

Advanced Monitoring

Resilient Machine Learning systems need to be lightning fast and fully reliable. The AI Layer offers sophisticated reporting and metrics that give you full visibility of your deployments at all times.

Write in Multiple Languages

Data Scientists write models in multiple languages, which can make things complicated. Are some of your models in R and others in Python? No problem. The AI Layer can run models, functions, and algorithms in most popular languages.

Tech Stack

Our backend has taken years of development. It is built with the most cutting edge frameworks and utilizing the best possible hardware.

Docker

Kubernetes

Elastic Search

CPU

GPU

What people are saying about Algorithmia's AI Layer

ANNA PATTERSON

VP of Engineering, Artificial Intelligence at Google

As someone that has spent years designing and deploying Machine Learning systems, I'm impressed by Algorithmia's serverless microservice architecture – it's a great solution for organizations that want to deploy AI at any scale.

KATIE GRAY

Partner at In-Q-Tel

Algorithmia empowers U.S. Government agencies to rapidly deploy new capabilities to the AI layer. The platform delivers security, scalability and discoverability so data scientists can focus on problem solving.

Today most AI/ML models are still being deployed manually, which requires a lot of time, coordination, and engineering resources. We're working with Algorithmia to help companies deploy, iterate, and scale faster on Azure with the Enterprise AI Layer.